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» Adaptation of SIFT Features for Robust Face Recognition
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ICIAR
2010
Springer
13 years 9 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
ICIP
2009
IEEE
14 years 5 months ago
Face Recognition Using Sift Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigni...
BCS
2008
13 years 5 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
CORR
2010
Springer
238views Education» more  CORR 2010»
13 years 4 months ago
Face Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us...
Dakshina Ranjan Kisku, Ajita Rattani, Enrico Gross...
ECCV
2010
Springer
13 years 5 months ago
Self-Adapting Feature Layers
Abstract. This paper presents a new approach for fitting a 3D morphable model to images of faces, using self-adapting feature layers (SAFL). The algorithm integrates feature detect...